The MaCAD is a unique online programme training a new generation of architects, engineers and designers ready to develop skills into the latest softwares, computational tools, BIM technologies and AI towards innovation for the Architecture, Engineering and Construction (AEC) industry.
HaBiCoM is an AI-powered copilot designed to assist architects, designers, and users in shaping smarter, more responsive interior spaces. At its core, HaBiCoM redefines the way we approach furniture placement within residential environments by aligning each design decision with the user’s unique daily habits, lifestyle rhythms, and thermal comfort needs. Unlike traditional layout tools, HaBiCoM … Read more
A sustainability CoPilot Gaia is an intelligent design assistant, a copilot that supports architects in navigating the early stages of design with real-time environmental feedback. Named after the ancient Greek personification of the Earth, Gaia reflects both the ecological focus of the tool and its role as a guiding presence in the creative process. The … Read more
Consider yourself a local architect or urban planner dealing with the all-too-common Barcelona problem: Its too hot here! and the courtyard outside feels like a desolate oven. Imagine now that your co-pilot is a pixel-art cat that is friendly, understands the climatic conditions and works with you to create a courtyard that is actually comfortable, … Read more
Project Objective The project objective is to develop an interface where users can batch upload images of an established design, usually in the Design Development phase when materials and small tweaks are being considered. The goal is for a user in a traditional architecture office to batch upload images of their 3d model to quickly … Read more
Using Node Similarity and Machine Learning: How advanced graph analytics and spatial daylight autonomy analysis are transforming architectural design workflow Introduction In an age where climate-driven architecture is paramount, daylight performance remains central to both spatial experience and energy efficiency. Our project tackles this by combining IFC data, graph logic, and machine intelligence to create … Read more
Nestled within IAAC’s Master of Advanced Computational Design program, our recent investigation of Graph Machine Learning (Graph ML) sought to reimagine how we perceive, evaluate, and improve architectural spaces. Our team of Andrea, Leila, Lennart, and Mahnoor worked on a courtyard prototype to create a seamless process that combines parametric modeling, semantic data interchange, and … Read more
This project introduces a graph-based machine learning system designed to automate furniture placement in apartment layouts. The workflow was developed as part of an architectural design studio and played a key role in generating comfort-driven interior configurations. At its core, the system encodes spatial and functional rules such as placing a sofa near a window … Read more
A STORY OF SYNTHETIC LIFE FORM HAVE YOU EVER DREAMT OF A BETTER VERSION OF YOURSELF? The Substance, directed by Coralie Fargeat (Universal Pictures, 2024) This project simulates a linear evolutionary process in which a synthetic organism progressively transforms to become more human-like. The evolution is guided entirely by language models, with no human intervention … Read more
Abstract In this project, we explore how graph-based thinking can reshape construction planning by bridging design data and scheduling logic. Drawing inspiration from modular architecture and network theory, we investigate new ways to visualize, analyze, and optimize the sequencing of building elements. By combining insights from BIM, parametric modeling, and graph analysis, the work aims … Read more
Our Solution: The Co-creator App We’ve developed a Copilot App – a local AI system that lives in your building and speaks your language. Literally. You make natural language requests, and it translates them into real architectural actions by understanding the complex relationships between spaces and residents through graph databases and GDS algorithms. Here’s how … Read more
Thermal Comfort Index Prediction // Definition OBJECTIVE: predicting thermal comfort in air-conditioned residential buildings using machine learning algorithms. What is indoor thermal comfort? Thermal comfort is “That condition of mind that expresses satisfaction with the thermal environment” (ISO 7730) People may feel that their surroundings are warm, cold or simply comfortable depending on the thermal state … Read more
GWP-data enriched graphs Imagine being able to see the carbon footprint of a building, not after it’s built, but while it’s still a sketch. What if architects and engineers could get real-time sustainability feedback the moment they decide on a material or tweak a wall layout? That’s the vision behind Visual GWP. We combined Graph … Read more
A GRADIO tool that generates architectural line drawings from Rhino3D Viewport screenshots by relating on a trained LoRA of architectural line drawings that takes the viewport input prompt option setting and generate a ready to use line drawing The User even have the option to edit the Hue and Saturation of the line drawing and … Read more
Sketches in Space with AI and LoRA What if architects could doodle inside their designs—live, in 360°? ARchitect is a mixed-reality interface I developed for stylizing architectural spaces using expressive, cartoon-like overlays. Powered by LoRA fine-tuning and a custom-trained Flux, ARchitect reimagines how we interact with our built environment—by making architectural visualization playful, intuitive, and … Read more
Intro Designers know the pain: a perfect image—ruined by one wrong material. A distracting object. A missing texture. An awkward composition. You could retouch it manually, but how long will that take? And will it ever really blend? What if you could just circle the problem area and ask for something better? Something that fits … Read more
Why “Faster” Matters A single photorealistic render can quickly be very expensive and take days to produce, locking design changes behind hefty bills and long waits for architects. Generative AI, through models like Stable Diffusion and custom LoRAs, slashes both cost and time, turning sketches into near-final visuals in seconds. By democratizing high-fidelity imagery, it … Read more
